Instructions to use robertobissanti/EngGPT2-16B-A3B-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use robertobissanti/EngGPT2-16B-A3B-GGUF with llama.cpp:

Install (macOS, Linux)

curl -LsSf https://llama.app/install.sh | sh
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf robertobissanti/EngGPT2-16B-A3B-GGUF:BF16
# Run inference directly in the terminal:
llama cli -hf robertobissanti/EngGPT2-16B-A3B-GGUF:BF16

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf robertobissanti/EngGPT2-16B-A3B-GGUF:BF16
# Run inference directly in the terminal:
llama cli -hf robertobissanti/EngGPT2-16B-A3B-GGUF:BF16

Build from source code

git clone https://github.com/ggml-org/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-app
# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama serve -hf robertobissanti/EngGPT2-16B-A3B-GGUF:BF16
# Run inference directly in the terminal:
./build/bin/llama cli -hf robertobissanti/EngGPT2-16B-A3B-GGUF:BF16

Use Docker

docker model run hf.co/robertobissanti/EngGPT2-16B-A3B-GGUF:BF16

Llama new
LM Studio
Jan

vLLM

How to use robertobissanti/EngGPT2-16B-A3B-GGUF with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "robertobissanti/EngGPT2-16B-A3B-GGUF"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "robertobissanti/EngGPT2-16B-A3B-GGUF",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/robertobissanti/EngGPT2-16B-A3B-GGUF:BF16

Ollama
How to use robertobissanti/EngGPT2-16B-A3B-GGUF with Ollama:
```
ollama run hf.co/robertobissanti/EngGPT2-16B-A3B-GGUF:BF16
```
Unsloth Desktop

How to use robertobissanti/EngGPT2-16B-A3B-GGUF with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf robertobissanti/EngGPT2-16B-A3B-GGUF:BF16

Configure the model in Pi

# Install Pi:
npm install -g @earendil-works/pi-coding-agent
# Add to ~/.pi/agent/models.json:
{
  "providers": {
    "llama-cpp": {
      "baseUrl": "http://localhost:8080/v1",
      "api": "openai-completions",
      "apiKey": "none",
      "models": [
        {
          "id": "robertobissanti/EngGPT2-16B-A3B-GGUF:BF16"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Docker Model Runner
How to use robertobissanti/EngGPT2-16B-A3B-GGUF with Docker Model Runner:
```
docker model run hf.co/robertobissanti/EngGPT2-16B-A3B-GGUF:BF16
```

Lemonade

How to use robertobissanti/EngGPT2-16B-A3B-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull robertobissanti/EngGPT2-16B-A3B-GGUF:BF16

Run and chat with the model

lemonade run user.EngGPT2-16B-A3B-GGUF-BF16

List all available models

lemonade list

Hermes Agent

How to use robertobissanti/EngGPT2-16B-A3B-GGUF with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf robertobissanti/EngGPT2-16B-A3B-GGUF:BF16

Configure Hermes

# Install Hermes:
curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash
hermes setup
# Point Hermes at the local server:
hermes config set model.provider custom
hermes config set model.base_url http://127.0.0.1:8080/v1
hermes config set model.default robertobissanti/EngGPT2-16B-A3B-GGUF:BF16

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use robertobissanti/EngGPT2-16B-A3B-GGUF with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf robertobissanti/EngGPT2-16B-A3B-GGUF:BF16

Configure OpenClaw

# Install OpenClaw:
npm install -g openclaw@latest
# Register the local server and set it as the default model:
openclaw onboard --non-interactive --mode local \
  --auth-choice custom-api-key \
  --custom-base-url http://127.0.0.1:8080/v1 \
  --custom-model-id "robertobissanti/EngGPT2-16B-A3B-GGUF:BF16" \
  --custom-provider-id llama-cpp \
  --custom-compatibility openai \
  --custom-text-input \
  --accept-risk \
  --skip-health

Run OpenClaw

openclaw agent --local --agent main --message "Hello from Hugging Face"

EngGPT2-16B-A3B GGUF

This repository contains a GGUF conversion of engineering-group/EngGPT2-16B-A3B.

The model inherits the original EngGPT Non-Commercial License and is intended for research and non-commercial use only.

Files

enggpt2-bf16.gguf: BF16 GGUF conversion.
enggpt2-repro-notes.md: conversion and runtime notes.
enggpt2-llama-cpp-support.patch: patch used for llama.cpp support.
enggpt2-config-for-conversion.json: local conversion config.

Runtime Requirement

This GGUF requires a patched llama.cpp runtime. An unpatched runtime may fail with:

wrong number of tensors; expected 291, got 243

The required runtime changes add support for optional attention Q/K RMSNorm tensors in the LLaMA loader and apply those norms before RoPE. The converter patch also maps EngGPT2 MoE expert tensor names into a Mixtral-compatible GGUF layout.

Build

For a static local build:

cmake -B build -DCMAKE_BUILD_TYPE=Release -DBUILD_SHARED_LIBS=OFF
cmake --build build --target llama-cli llama-server llama-completion -j 8

Quick Test

./build/bin/llama-cli \
  -m enggpt2-bf16.gguf \
  -p "Spiega in italiano cos'e un trasformatore elettrico." \
  -n 300 \
  --temp 0

Ollama

Stock Ollama does not run this GGUF unless its bundled llama.cpp runner includes the same runtime patch.

Related Repositories

Original model: engineering-group/EngGPT2-16B-A3B
llama.cpp fork: robertobissanti/llama.cpp
MLX workflow: robertobissanti/enggpt2-mlx-manager

Downloads last month: 20

GGUF

Model size

16B params

Architecture

llama

Hardware compatibility

16-bit

Model tree for robertobissanti/EngGPT2-16B-A3B-GGUF

Base model

engineering-group/EngGPT2-16B-A3B

Quantized

(3)

this model